Abstract
UV-Spectrophotometer response is a nonintrusive test used to determine the transformer integrity. Information about the health of the power transformer that can be use to plan cost, maintenance, relocation and operational criteria can be accurately interpreted using UV-Spectrophotometer. As UV scan can only show the pictorial information of the age of the oil hence it is not advantageous in all aspects. In the present paper an Artificial Neural Network (ANN) method to determine the health assessment of the transformer oil introduced. The ANN uses the UV/Vis spectroscopy absorbance and bandwidth values of the transformer oil which are in service at several locations. The ANN method is designed so that the dissolved decay product in mineral insulating oil of transformer can be examined quickly and automatically.
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